Overview
Technical Program Manager for software compliance and program budgeting, leading AI governance, open-source compliance, and cross-functional program management initiatives.
What you'll do
- Lead enterprise AI governance and compliance programs across AI, Machine Learning, Generative AI, and software engineering initiatives.
- Establish and operationalize AI governance frameworks covering model lifecycle management, Responsible AI, model risk management, explainability, transparency, and compliance requirements.
- Drive adoption of AI governance controls across engineering and data science organizations.
- Collaborate with executive stakeholders to align AI innovation goals with compliance and risk management objectives.
- Lead software compliance initiatives across product portfolios and engineering organizations.
- Ensure compliance with open-source licensing requirements, software supply chain policies, and third-party software governance standards.
- Partner with legal and engineering teams to review and remediate software compliance risks.
- Partner with AI engineers, data scientists, and architects to govern the end-to-end AI/ML lifecycle.
- Ensure compliance checkpoints are integrated throughout data collection, model development, training, validation, deployment, monitoring, and retirement processes.
- Establish governance processes for model documentation, reproducibility, auditability, and explainability.
- Drive implementation of model performance monitoring and drift management strategies.
- Facilitate Responsible AI assessments for AI-powered products and solutions.
- Identify and manage AI-specific risks including model bias, fairness, transparency, explainability, privacy, hallucinations, and security concerns.
- Partner with legal, privacy, ethics, and security teams to establish controls that meet internal and external regulatory requirements.
- Develop mitigation plans and track remediation of identified risks.
- Drive readiness for internal and external audits involving software governance and AI systems.
- Maintain compliance evidence, documentation, audit trails, and governance records.
- Coordinate responses to audit findings and drive corrective action plans.
- Support compliance with emerging AI regulations and industry standards.
- Manage complex programs involving engineering, product management, AI research, data science, legal, security, and compliance stakeholders.
- Establish program roadmaps, milestones, governance cadences, and executive reporting.
- Lead strategic planning sessions, steering committees, and business reviews.
- Manage risks, dependencies, and organizational change associated with AI and software governance initiatives.
- Define and track key compliance and governance metrics.
- Build executive dashboards providing visibility into compliance posture, model inventory, risk exposure, remediation status, and operational health.
- Present strategic recommendations and compliance insights to senior leadership.
- Measure adoption and effectiveness of AI governance initiatives.
What you'll need
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Information Systems, Business, or related field.
- 8+ years of experience in Technical Program Management, Software Engineering Operations, Compliance and Governance.
- Experience managing large-scale, cross-functional software or digital transformation programs.
- Strong understanding of Software Development Lifecycle (SDLC), Agile methodologies, DevSecOps, and cloud-based software delivery.
- Demonstrated experience working with executive stakeholders and engineering leadership teams.
Details
- Onsite role, with an expectation that you will primarily work from an HPE office.
- Location: Bengaluru, Karnātaka, India.
- Job level: TCP_04; job family: Engineering.
Read the full description and apply on the company’s own careers page.